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RESEARCH [E]
Scroll down to find direct links to publicly posted research papers, presentations, etc. in the field of sound source separation and related topics. I have listed them in alphabetical order by title for ease of browsing and have provided these links, which are available on the web, for your convenience. I have provided permalinks for those papers available for a fee. Titles without a link can be found through a web search. Please use the CONTACT page to notify me of any corrections, to supply suggestions for adding any additional pertinent links, or to notify me if you encounter any dead links in this list. Thanks!
EFFECT OF SIMILARITY MEASURES ON REPETITIVE AUDIO SOURCE SEPARATION [PDF]
Mita Suresh1, Indu Reena Varughese2, 1PG Scholar, Amal Jyothi College of Engineering, Kottayam, Kerala, India, 2Assistant Professor, Dept of ECE, Amal Jyothi College of Engineering, Kottayam, Kerala, India (2014)
Daichi Kitamura, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Japan (2017)
EFFICIENT DATA ADAPTION FOR MUSICAL SOURCE SEPARATION METHODS BASED ON PARAMETRIC MODELS [PDF]
Sebastian Ewert⋆, Meinard Müller†, Mark Sandler⋆, ⋆ Queen Mary University of London, London, United Kingdom, † International Audio Laboratories, Erlangen, Germany (2013)
EFFICIENT IMPLEMENTATION OF A SYSTEM FOR SOLO AND ACCOMPANIMENT SEPARATION IN POLYPHONIC MUSIC [PDF]
Estefanía Cano, Christian Dittmar and Gerald Schuller, Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany (2012)
EFFICIENT MANIFOLD PRESERVING AUDIO SOURCE SEPARATION USING LOCALITY SENSITIVE HASHING [PDF]
Minje Kim1*, Paris Smaragdis1,2,3, Gautham J. Mysore3, 1Department of Computer Science, University of Illinois at Urbana-Champaign, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 3Adobe Research (2015)
EFFICIENT VOCAL MELODY EXTRACTION FROM POLYPHONIC MUSIC SIGNALS [PDF]
G. Yao1,2, Y. Zheng1,2, L. Xiao1,2, L. Ruan1,2, Y. Li1,2, 1 State Key Laboratory of Software Development Environment, Beijing, China, 2 School of Computer Science and Engineering, Beihang University, Beijing, China (2013)
ELEN E4896 MUSIC SIGNAL PROCESSING, LECTURE 14, SOURCE SEPARATION (slides) [PDF]
Dan Ellis, Dept. Electrical Engineering, Columbia University, New York, New York (2013)
ELEN E4896 MUSIC SIGNAL PROCESSING, LECTURE 14, SOURCE SEPARATION (video)
Dan Ellis, Dept. Electrical Engineering, Columbia University, New York, New York (2013)
EMPLOYING THE RELATIVE PHASE OF OVERTONES IN SINGLE MIXTURE MUSICAL SOURCE SEPARATION [permalink]
Gordana Velikic, Mark F. Bocko, Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA (2007)
END-TO-END MUSIC SOURCE SEPARATION: IS IT POSSIBLE IN THE WAVEFORM DOMAIN? [PDF]
Francesc Lluís, Jordi Pons, Xavier Serra Music Technology Group, Universitat Pompeu Fabra, Barcelona (2018)
END-TO-END MUSIC SOURCE SEPARATION: IS IT POSSIBLE IN THE WAVEFORM DOMAIN? (audio samples)
Francesc Lluís, Jordi Pons, Xavier Serra Music Technology Group, Universitat Pompeu Fabra, Barcelona (2018)
END-TO-END SOUND SOURCE SEPARATION CONDITIONED ON INSTRUMENT LABELS [PDF]
Olga Slizovskaia⋆†, Leo Kim⋆‡, Gloria Haro†, Emilia Gomez†, † Pompeu Fabra University, ‡ University of Waterloo (2018)
END-TO-END SOURCE SEPARATION WITH ADAPTIVE FRONT-ENDS [PDF]
Shrikant Venkataramani, University of Illinois at Urbana Champaign, Paris Smaragdis, University of Illinois at Urbana Champaign, Adobe Research (2017)
ENHANCED AUDIO SOURCE SEPARATION AND MUSICAL COMPONENT ANALYSIS [permalink]
Tanmay Bhagwat, Shubham Deolalkar, Jayesh Lokhande, Leena Ragha, Ramrao Adik Institute of Technology, Mumbai, India (2020)
ENHANCED FEATURE NETWORK FOR MONAURAL SINGING VOICE SEPARATION
Weitao Yuan1, Boxin He1, Shengbei Wang1, Jianming Wang1, Mavashi Unoki2, 1School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin, China, 2School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan (2018)
ENHANCING AUDIO SOURCE SEPARABILITY USING SPECTRO-TEMPORAL REGULARIZATION WITH NMF [PDF]
Colin Vaz1, Dimitrios Dimitriadis2, and Shrikanth Narayanan1, 1Ming Hsieh Department of Electrical Engineering University of Southern California, Los Angeles, California, 2AT&T Labs–Research, Bedminster, New Jersey (2014)
ENHANCING THE QUALITY OF AUDIO TRANSFORMATIONS USING THE MULTI-SCALE SHORT-TIME FOURIER TRANSFORM [PDF]
Nicolas Juillerat, Pervasive and AI Research Group, University of Fribourg, Switzerland, Stefan Müller Arisona, Media Arts and Technology, University of California, Santa Barbara, Simon Schubiger-Banz, Computer Systems Institute, ETH Zürich, Switzerland (2008)
ENHANCING THE QUALITY OF AUDIO TRANSFORMATIONS USING THE MULTI-SCALE SHORT-TIME FOURIER TRANSFORM (MS-STFT) (presentation) [PPT direct download]
Nicolas Juillerat, Pervasive and AI Research Group, University of Fribourg, Switzerland, Stefan Müller Arisona, Media Arts and Technology, University of California, Santa Barbara, Simon Schubiger-Banz, Computer Systems Institute, ETH Zürich, Switzerland (2008)
ENSEMBLESET: A NEW HIGH QUALITY SYNTHESISED DATASET FOR CHAMBER ENSEMBLE SEPARATION
Saurjya Sarkar, Emmanouil Benetos, Mark Sandler, Centre for Digital Music, Queen Mary University of London, UK (2022)
ESTIMATING INDIVIDUAL A CAPPELLA VOICES IN MUSIC VIDEOS WITH SINGING FACES [PDF]
Venkatesh S. Kadandale, Juan F. Montesinos, Gloria Haro, Universitat Pompeu Fabra (2021)
ESTIMATION LOCALE DES MODULATION AM/FM: APPLICATIONS À LA MODÉLISATION SINUSOÏDALE AUDIO ET À LA SÉPARATION DE SOURCE AVEUGLE (in French) [PDF]
Dominique Fourer1, François Auger2, Geoffroy Peeters1, 1UMR STMS (IRCAM - CNRS - UPMC), Paris, France, 2IREENA - CRTT, Saint-Nazaire, France (2017)
ESTIMATION OF VOCAL DURATION IN MONAURAL MIXTURES [PDF]
Anders Elowsson, Ragnar Schön, Matts Höglund, Elias Zea, Anders Friberg, KTH, Royal Institute of Technology (2014)
EUSIPCO 2019: DEEP LEARNING FOR MUSIC SEPARATION
Antoine Liutkus & Fabian-Robert Stöter, Inria and LIRMM, Montpellier, France (2019)
EVALUATION OF A METHOD FOR SEPARATING DIGITIZED DUET SIGNALS [PDF]
Robert C. Maher, Department of Electrical Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska, USA (1990)
EVALUATION OF A SCORE-INFORMED SOURCE SEPARATION SYSTEM [PDF]
Joachim Ganseman, Paul Scheunders, IBBT - Visielab, Department of Physics, University of Antwerp, Antwerp, Belgium, Gautham J. Mysore, Jonathan S. Abel, CCRMA, Department of Music, Stanford University, Stanford, California, USA (2010)
Andrew J.R. Simpson1 , Gerard Roma1 , Emad M. Grais1 , Russell D. Mason2 , Chris Hummersone2 , Antoine Liutkus3 , Mark D. Plumbley1, 1CVSSP/ 2IoSR, University of Surrey, Guildford, UK, 3Inria, Villers-lès-Nancy, France (2016)
EVALUATION OF BLIND SOURCE SEPARATION ALGORITHMS APPLIED TO MUSIC SIGNALS [permalink]
Peter Kasak, Roman Jarina, Department of Multimedia and Information-Communication Technology, University of Zilina, Zilina, Slovakia (2022)
EVALUATION OF QUALITY OF SOUND SOURCE SEPARATION ALGORITHMS: HUMAN PERCEPTION VS QUANTITATIVE METRICS [permalink]
Estefanía Cano, Fraunhofer IDMT, Semantic Music Technologies, Ilmenau, Germany, Derry FitzGerald, Cork Institute of Technology, Nimbus Centre, Cork, Ireland, Karlheinz Brandenburg, Fraunhofer IDMT, Semantic Music Technologies, Ilmenau, Germany (2016)
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (Nara Institute of Science and Technology), Kazunobu Kondo, Yu Takahashi (Yamaha Corporation) (2013)
EVALUATION OF SEVERAL STRATEGIES FOR SINGLE SENSOR SPEECH/MUSIC SEPARATION [permalink]
Raphaël Blouet1, Guy Rapaport2, Israel Cohen2 and Cédric Févotte3 †, 1 MIST Technologies Research 204, Paris, France, 2 Dept of Electrical Engineering, Israel Institute of Technology, Technion City, Haifa, Israel, 3 CNRS-TELECOM ParisTech, Paris, France (2008)
EVALUATION OF SPECTRAL TRANSFORMS FOR MUSIC SIGNAL ANALYSIS [permalink]
Anil Nagathil, Rainer Martin, Ruhr-Universität Bochum, Institut für Kommunikationsakustik, Fakultät für Elektrotechnik und Informationstechnik, Bochum, Germany (2013)
EVENT FORMATION AND SEPARATION OF MUSICAL SOUND [PDF]
David K. Mellinger, CCRMA Department of Music, Stanford University (1991)
EVOLVING MULTI-RESOLUTION POOLING CNN FOR MONAURAL SINGING VOICE SEPARATION [permalink]
Weitao Yuan, Bofei Dong, Shengbei Wang, Tian- jin Key Laboratory of Autonomous Intelligence Technology and Systems, School of Computer Science and Technology, Tiangong University, Tianjin, China, Masashi Unoki, School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan, Member, IEEE, and Wenwu Wang, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K., Senior Member, IEEE (2021)
EXAMINING THE MAPPING FUNCTIONS OF DENOISING AUTOENCODERS IN SINGING VOICE SEPARATION [permalink]
Stylianos Ioannis Mimilakis, Semantic Music Technologies Group, Fraunhofer IDMT, Ilmenau, Germany, Konstantinos Drossos, Audio Research Group, Tampere University, Tampere, Finland, Estefanía Cano, Semantic Music Technologies Group, Fraunhofer IDMT, Ilmenau, Germany, Gerald Schuller, Technical University of Ilmenau, Germany (2019)
EXAMINING THE PERCEPTUAL EFFECT OF ALTERNATIVE OBJECTIVE FUNCTIONS FOR DEEP LEARNING BASED MUSIC SOURCE SEPARATION [PDF direct download]
Stylianos Ioannis Mimilakis and Estefanía Cano, Fraunhofer IDMT, Ilmenau, Germany, Derry FitzGerald, AudioSourceRE, Cork, Ireland, Konstantinos Drossos, Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland, Gerald Schuller, Technical University of Ilmenau, Ilmenau, Germany (2018)
EXPERIMENTAL EVALUATION OF SOURCE SEPARATION WITH ONLY ONE SENSOR [PDF]
J. Walker*, F. Bimbot** and L. Benaroya†, *Department of Electronic and Computer Engineering, University of Limerick, Ireland, **IRISA (CNRS&|INRIA), Rennes, France, †Mist technologies, Paris, France
EXPLICIT-MEMORY MULTIRESOLUTION ADAPTIVE FRAMEWORK FOR SPEECH AND MUSIC SEPARATION
Ashwin Bellur, Karan Thakkar & Mounya Elhilali, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA (2023)
Jeongsoo Park, Jaeyoung Shin, Kyogu Lee, Music and Audio Research Group, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea (2017)
EXPLOITING LONG-TERM TEMPORAL DEPENDENCIES IN NMF USING RECURRENT NEURAL NETWORKS WITH APPLICATION TO SOURCE SEPARATION [PDF]
Nicolas Boulanger-Lewandowski, Universite ́ de Montréal Montréal, QC, Canada, Gautham J. Mysore, Matthew Hoffman, Adobe Research San Francisco, California (2014)
Jonathan Le Roux, The University of Tokyo, Graduate School of Information Science and Technology, Department of Information Physics and Computing (2009)
EXPLOITING STRUCTURE: NEW ALGORITHMS FOR SOURCE SEPARATION, OPTIMIZATION, AND DEEP LEARNING (slides) [PDF]
Steven J. Rennie, IWAENC 2014 Workshop, IBM T. J. Watson Research Center (2014)
EXPLORING ALIGNED LYRICS-INFORMED SINGING VOICE SEPARATION [PDF]
Chang-Bin Jeon, Hyeong-Seok Choi, Kyogu Lee, Department of Intelligence and Information, Music and Audio Research Group (MARG), Center for Superintelligence, Seoul National University (2020)
EXPLORING PHASE INFORMATION IN SOUND SOURCE SEPARATION APPLICATIONS [PDF]
Estefanía Cano, Gerald Schuller and Christian Dittmar, Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany (2010)
EXTENDED NON-NEGATIVE TENSOR FACTORISATION MODELS FOR MUSICAL SOUND SOURCE SEPARATION [PDF]
Derry FitzGerald, Matt Cranitch, Eugene Coyle, ISSC 2005, Dublin (2005)
EXTENDED SEMANTIC INITIALIZATION FOR NMF-BASED AUDIO SOURCE SEPARATION [PDF]
Christian Rohlfing and Julian M. Becker, Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2015)
EXTENDING HARMONIC-PERCUSSIVE SEPARATION OF AUDIO SIGNALS [PDF]
Jonathan Driedger1, Meinard Müller1, Sascha Disch2, 1International Audio Laboratories Erlangen, 2Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany (2014)
EXTENDING HARMONIC-PERCUSSIVE SEPARATION OF AUDIO SIGNALS (abstract, audio examples)
Jonathan Driedger1, Meinard Müller1, Sascha Disch2, 1International Audio Laboratories Erlangen, 2Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany (2014)
EXTENDING HARMONIC-PERCUSSIVE SEPARATION OF AUDIO SIGNALS (video)
Jonathan Driedger1, Meinard Müller1, Sascha Disch2, 1International Audio Laboratories Erlangen, 2Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany (2014)
EXTENSION OF DUET TO SINGLE-CHANNEL MIXING MODEL AND SEPARABILITY ANALYSIS [PDF]
N. Tengtrairat, and W.L. Woo, School of Electrical and Electronic Engineering, Newcastle University, United Kingdom (2014)
EXTENSION OF MONAURAL TO STEREOPHONIC SOUND BASED ON DEEP NEURAL NETWORKS [permalink]
Chun, Chan Jun; Jeong, Seok Hee; Park, Su Yeon; Kim, Hong Kook, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea; City University of New York, New York, NY, USA (2015)
EXTRACTING MEANINGFUL AUDITORY OBJECTS FROM MUSIC SIGNALS: METHODS AND APPLICATIONS (slides) [PDF]
Anssi Klapuri, Queen Mary, University of London (2009)
EXTRACTING SINGING VOICE FROM MUSIC RECORDINGS BY CASCADING AUDIO DECOMPOSITION TECHNIQUES [PDF]
Jonathan Driedger and Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2015)
Jonathan Driedger and Meinard Müller, International Audio Laboratories Erlangen, Erlangen, Germany (2015)
EXTRACTING SOUND OBJECTS BY INDEPENDENT SUBSPACE ANALYSIS [permalink]
Shlomo Dubnov, Department of Communication Systems Engineering, Ben Gurion University, Beer Sheva, Israel (2002)
EXTRACTING VOCAL SOURCES FROM MASTER AUDIO RECORDINGS [PDF]
Derek Mendez, Tarun Pondicherry, Chris Young (2012)
EXTRACTION AND REMIXING OF DRUM TRACKS FROM POLYPHONIC MUSIC SIGNALS [permalink]
Olivier Gillet and Gaël Richard, GET / Télécom Paris, Paris, France (2005)
EXTRACTION AND REMOVAL OF PERCUSSIVE SOUNDS FROM MUSICAL RECORDINGS [PDF]
John Usher, Sound Recording Area, McGill University, Montreal, Canada (2006)
EXTRACTION OF DRUM BEATS FROM POLYPHONIC MUSIC (slides, in Chinese & English) [PDF]
Wang Wei, Zhang Weien, Department of Computer Science and Information Engineering (CSIE), Taipei, Taiwan (2014)
EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC USING INDEPENDENT SUBSPACE ANALYSIS [PDF]
Christian Uhle, Christian Dittmar, Thomas Sporer, Fraunhofer AEMT, Ilmenau, Germany (2003)
EXTRACTION OF INDIVIDUAL TRACKS FROM POLYPHONIC MUSIC [PDF]
Nick Starr, Thomas Jefferson High School for Science and Technology, Alexandria, Virginia, USA (2009)
EXTRACTION OF MONO-AURAL VOCAL AND NON-VOCAL COMPONENTS EXPLOITING ‘ANOVA’ COMPUTATIONAL METHOD IN REPET [permalink]
Vansha Kher, T. S Lamba, Department of Electronics and Communication, Jaypee University Of Information Technology, Solan (H.P) India (2015)
EXTRACTION OF SINGLE CHANNEL FROM MIXED AUDIO SAMPLE USING ADAPTIVE FACTORIZATION [permalink]
Jasreen Kaur, Shailaja Gaikwad, Electronics department, Terna engineering college, Mumbai, India (2017)